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Expert développeur DevOps/MLOPS
Build and maintain MLOps pipelines and cloud infrastructure to deploy AI models, focusing on automation, CI/CD, and best practices for scalable, auditable ML systems.
Data Engineer
Build and maintain ML pipelines in Python and AWS to forecast renewable energy output from wind and solar assets.
Data Scientist Specialist
Design and deploy scalable AI/ML systems, including generative AI solutions with RAG and embeddings, to solve complex business problems and drive measurable impact.
AI / MLOps Engineer
Builds and deploys AI/ML models from prototype to production, focusing on MLOps pipelines, model monitoring, and scalable infrastructure for public-sector and energy clients using PyTorch, TensorFlow, and cloud platforms like AWS SageMaker.
Product Owner
Own AI product vision, turning business needs into measurable ML use-cases, and steer a cross-functional team to deliver sovereign-energy solutions using PyTorch, Hugging Face, and MLOps tooling.
Senior/Lead GCP Data Engineer
Build and optimize cloud-native data pipelines on GCP to power AI, ML, and analytics products used by millions of banking customers.
AI Engineering Manager (Full-Stack) - Milano
Lead a team building scalable AI and data platforms for enterprise clients, designing cloud-native architectures, MLOps pipelines, and generative-AI solutions using Python, Spark, and cloud stacks like AWS/Azure.
AI DATA ENGINEER
Builds and optimizes large-scale data pipelines with Apache Spark and Azure, applies ML techniques, and deploys models end-to-end for a tech company in Bologna.
AI & Data Science Consultant/Engineer (Japanese Speaking)
Design and build AI-powered applications using LLMs, Generative AI, and agentic platforms for Japanese-speaking clients, integrating full-stack solutions and delivering data-driven insights.
Senior Data Science & AI Engineer
Build AI-powered systems that turn manufacturing and flight data into trusted insights using LLMs, RAG, and automation to improve engineering and business decisions.
Data Science & AI Engineer
Build and deploy AI models (computer vision, ML) to turn operational data into insights for avionics and manufacturing, using Python, TensorFlow/PyTorch, and MLOps.
Principal Data Platform Engineer
Lead and scale StarHub’s cloud data platform (AWS, Snowflake, SageMaker) to ensure reliability, security, and innovation for enterprise data and AI workloads.
Senior ML Data Platform Engineer
Build and maintain the ML infrastructure that trains, packages, serves, and monitors production models across cloud and HPC environments using Python and MLOps tooling.
Associate, Full Stack Data Engineer
Build and maintain scalable data pipelines, AI/ML Ops, and full-stack platforms for a global bank, ensuring data quality, governance, and security across hybrid cloud architectures.
Full-Stack Data Engineer — Associate, Data Platform
Designs and builds scalable data pipelines and AI/ML platforms for financial analytics using Python/Java and cloud tools like Snowflake and EMR.
Associate, Full Stack Data Engineer
Build and maintain scalable data pipelines, AI/ML Ops systems, and cloud-native platforms to support Nomura’s financial data and analytics needs using Python, Java, React, and cloud tools like Snowflake.
Senior Data Engineer
Design and maintain scalable data pipelines and lakehouse/warehouse architectures to power analytics, dashboards, and AI models, automating ETL workflows and enabling MLOps.
Senior Data Engineer Python | Hadoop | AI | Big Data
Build and maintain large-scale data pipelines and AI-ready platforms for a banking client using Python, Hadoop, Spark, and cloud tech to support ML, GenAI, and analytics.
AI Full Stack Engineer (1 Year Contract)
Build production-grade AI applications for Singapore’s education sector using TypeScript, React, NestJS, PostgreSQL, and AWS, integrating LLMs and observability tools.
DevOps Engineer
Designs and maintains cloud infrastructure and CI/CD pipelines for AI platforms using Terraform, Kubernetes, and Azure/AWS. Builds MLOps and GenAI deployment workflows with GitOps and DevSecOps practices.